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Registros recuperados: 34
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AGRICULTURAL ECONOMISTS' EFFECTIVENESS IN REPORTING AND CONVEYING RESEARCH PROCEDURES AND RESULTS AgEcon
Parcell, Joseph L.; Kastens, Terry L.; Dhuyvetter, Kevin C.; Schroeder, Ted C..
This study reviews articles using regression analysis published in the Journal of Agricultural and Resource Economics from 1994 to 1998 to determine agricultural economists' effectiveness in reporting and conveying research procedures and results. Based on the authors' experience of surveying articles for this study, several suggestions for reporting of results and how to better separate statistical from economic significance are offered. First, clearly define the dependent variable- preferably in the results table as well as within the text. Second, report parameter estimates in an interpretable form either in the results table or in a subsequent table. Third, report summary statistics. Fourth, report degrees of freedom conspicuously in the results table....
Tipo: Journal Article Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2000 URL: http://purl.umn.edu/31306
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AN ANALYSIS OF FARMERS' POLICY ATTITUDES AND PREFERENCES FOR FREE TRADE AgEcon
Kastens, Terry L.; Goodwin, Barry K..
This study evaluates the attitudes of U.S. (Kansas) farmers regarding "free-trade" and "free-market" policy environments. In contrast to earlier studies, non-specific policy attitudes are evaluated. A direct measure of farm program benefits is also included. Attitudes vary significantly with farm and operator characteristics. Support for free trade was shown to decrease with education and experience, to increase for farms with relatively more rented land, and to increase as total farm wealth increased. Support for free-trade was also higher for crop farms. Farms receiving more government payments are less likely to favor a free-trade policy environment.
Tipo: Journal Article Palavras-chave: Agricultural policy; Producer attitudes; International trade; International Relations/Trade.
Ano: 1994 URL: http://purl.umn.edu/15186
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AN ECONOMIC ANALYSIS OF THE DAIRY ENVIRONMENTAL COOPERATIVE IN NORTHEAST KANSAS AgEcon
Vogt, Michael L.; Kastens, Terry L..
In 1997, the Black Vermillion Dairy Environmental Cooperative (DEC) was started with an EPA 319A grant. Ten Kansas dairies located in the Kansas Black Vermillion Watershed were studied to evaluate the on-farm manure structures cost-shared by the DEC. Net present value (NPV) analysis was used to evaluate the profitability associated with the manure structures. The NPV analysis showed that in most cases, investing in a manure storage structure is a worthwhile venture and can be profitable for the dairy. However, cost-share assistance often will be needed in order to have positive pre-tax and after-tax NPVs.
Tipo: Conference Paper or Presentation Palavras-chave: Dairy Environmental Cooperative (DEC); Manure management; Net Present Value (NPV) analysis; Cost-share; Concrete manure storage; Environmental Economics and Policy.
Ano: 2001 URL: http://purl.umn.edu/20516
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CATTLE FEEDER BEHAVIOR AND FEEDER CATTLE PLACEMENTS AgEcon
Kastens, Terry L.; Schroeder, Ted C..
Cattle feeders appear irrational when they place cattle on feed when projected profit is negative. Long futures positions appear to offer superior returns to cattle feeding investment. Cattle feeder behavior suggests that they believe a downward bias in live cattle futures persists and that cattle feeders use different expectations than the live cattle futures market price when making placement decisions. This study examines feeder cattle placement determinants, comparing performance of expected hedgeable profit with past actual profit in explaining feeder cattle placements. Past actual profit is a more important placement determinant than expected profit based upon the live cattle futures market, even though hedgeable profit provides a superior forecast...
Tipo: Journal Article Palavras-chave: Livestock Production/Industries.
Ano: 1994 URL: http://purl.umn.edu/30754
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DETERMINING WHAT’'S REALLY IMPORTANT TO LENDERS: FACTORS AFFECTING THE AGRICULTURAL LOAN DECISION-MAKING PROCESS AgEcon
Wilson, Christine A.; Featherstone, Allen M.; Kastens, Terry L.; Jones, John D..
Agricultural lenders in today's environment face many challenges when evaluating the creditworthiness of farm borrowers. To address these challenges, a survey was conducted with financial institutions in Kansas and Indiana where agricultural lenders were asked for their response to hypothetical agricultural loan requests. Each loan request differed by the borrower's character, financial record keeping, productive standing, Fair Isaac credit bureau score, and credit risk. Lenders provided information about themselves and their financial institutions. The survey data obtained determine the relative importance of financial and non-financial information when analyzing agricultural loan applications. Tobit models are estimated to identify the borrower...
Tipo: Working or Discussion Paper Palavras-chave: Agricultural Finance.
Ano: 2006 URL: http://purl.umn.edu/28678
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EFFICIENCY TESTS OF JULY KANSAS CITY WHEAT FUTURES AgEcon
Kastens, Terry L.; Schroeder, Ted C..
Three procedures are used to test Fama semistrong from efficiency of harvesttime price of Kansas City July wheat futures from 1947 through 1995. The three methods are (a) testing for jointly significant parameter estimates on nonfutures explanatory variables in econometric forecasting models, (b) testing the relative accuracy between model-based forecasts and using deferred futures prices as forecasts, and (c) testing for abnormal profits associated with simulated futures trading signaled by the forecasts. Kansas City July wheat futures are generally efficient. Furthermore, relative to the efficiency associated with forecasts constructed one to two months before harvest, the efficiency associated with the five- to six-month period before harvest has...
Tipo: Journal Article Palavras-chave: Marketing.
Ano: 1996 URL: http://purl.umn.edu/31035
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EVALUATION OF EXTENSION AND USDA PRICE AND PRODUCTION FORECASTS AgEcon
Kastens, Terry L.; Schroeder, Ted C.; Plain, Ronald L..
This study evaluates agricultural forecasting accuracy in an analysis of responses to the Annual Outlook Survey conducted by the American Agricultural Economics Association from 1983 through 1995. Representative extension and composite, production, and price forecasts for several commodities are constructed from the survey data. These forecasts are compared to each other and to U.S. Department of Agriculture (USDA) and futures-based forecasts. Relationships between forecast features and accuracy are examined. Generally, extension forecasts are more accurate than USDA forecasts for livestock series, but not more accurate for crops. Composite forecasts are often more accurate than either extension or USDA forecasts.
Tipo: Journal Article Palavras-chave: Teaching/Communication/Extension/Profession.
Ano: 1998 URL: http://purl.umn.edu/31180
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Expectations of Cattle Feeding Investors in Feeder Cattle Placements AgEcon
Kastens, Terry L.; Schroeder, Ted C..
Cattle feeders appear irrational when they place cattle on feed when projected profits are negative. Long futures positions appear to offer superior returns to cattle feeding investment. Cattle feeder behavior suggests that they believe a downward bias in live cattle futures persists and that cattle feeders use different information than the live cattle futures market price when making placement decisions. This paper examines feeder cattle placement determinants and compares performance of expected hedgeable profits with past actual profits in explaining feeder cattle' placements. Past actual profits are found to be more important placement determinants than expected profits based upon the live cattle futures market, even though hedgeable profits provide...
Tipo: Working or Discussion Paper Palavras-chave: Livestock Production/Industries.
Ano: 1993 URL: http://purl.umn.edu/118159
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FINANCIAL CLASSIFICATION OF FARM BUSINESSES USING FUZZY SYSTEMS AgEcon
Duval, Yann; Kastens, Terry L.; Featherstone, Allen M..
This paper attempts to improve the ability of farm managers and lenders to forecast expected financial performance of farm businesses using a neuro-fuzzy inference system. Ex-ante farm financial performance is examined to identify the farms that are likely to become financially stressed before they actually become so.
Tipo: Conference Paper or Presentation Palavras-chave: Agricultural Finance.
Ano: 2002 URL: http://purl.umn.edu/19596
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Forecasting Crop Basis Using Historical Averages Supplemented with Current Market Information AgEcon
Taylor, Mykel R.; Dhuyvetter, Kevin C.; Kastens, Terry L..
This research compares practical methods of forecasting basis, using current market information for wheat, soybeans, corn, and milo (grain sorghum) in Kansas. Though generally not statistically superior, an historical one-year average was optimal for corn, milo, and soybean harvest and post-harvest basis forecasts. A one-year average was also best for wheat post-harvest basis forecasts, whereas a five-year average was the best method for forecasting wheat harvest basis. Incorporating current market information, defined as basis deviation from historical average, improved the accuracy of post-harvest basis forecasts. A naive forecast incorporating current information was often the most accurate for post-harvest basis forecasts.
Tipo: Journal Article Palavras-chave: Basis forecast; Crop basis; Current information; Naive forecast; Marketing.
Ano: 2006 URL: http://purl.umn.edu/8625
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FUTURES-BASED PRICE FORECASTS FOR AGRICULTURAL PRODUCERS AND BUSINESSES AgEcon
Kastens, Terry L.; Jones, Rodney D.; Schroeder, Ted C..
The forecasting accuracy of five competing naïve and futures-based localized cash price forecasts is determined. The third-week's price each month from 1987-96 is forecasted from several vantage points. Commodities examine include those relevant to Midwest producers: the major grains, slaughter steers, slaughter hogs, several classes of feeder cattle, cull cows, and sows. Relative forecasting accuracy across forecast method is compared using regression models of forecast error. The traditional forecast method deferred futures plus historical basis has the greatest accuracy- even for cull cows. Adding complexity to forecasts, such as including regression models to capture nonlinear bases or biases in futures markets, does not improve accuracy.
Tipo: Journal Article Palavras-chave: Demand and Price Analysis.
Ano: 1998 URL: http://purl.umn.edu/31187
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How Much Do Starting Values Really Matter? An Empirical Comparison of Genetic Algorithm and Traditional Approaches AgEcon
Tonsor, Glynn T.; Kastens, Terry L..
This research evaluates the impact of using different starting conditions in estimating meat demand systems. Results suggest that as the econometric task becomes increasingly nonlinear, specification of starting conditions becomes increasingly important. This work demonstrates implications of failing to use the best available starting value conditions and how these implications vary with the complexity of the underlying econometric model of interest. Furthermore, this piece proposes a universal approach to be used by all applied econometric practioners to developing appropriate starting values for use in subsequent model estimation.
Tipo: Conference Paper or Presentation Palavras-chave: Demand and Price Analysis.
Ano: 2006 URL: http://purl.umn.edu/21252
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IMPLICATIONS OF ALTERNATIVE FARM TRACTOR DEPRECIATION METHODS AgEcon
Dumler, Troy J.; Burton, Robert O., Jr.; Kastens, Terry L..
Responsible management and tax related to depreciable resources should consider the accuracy of depreciation methods in estimating current market value. This paper compares seven depreciation methods for farm tractors with respect to information required and accuracy of remaining value relative to market value. Management and policy implications are discussed.
Tipo: Conference Paper or Presentation Palavras-chave: Farm Management.
Ano: 1998 URL: http://purl.umn.edu/20913
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Improving Feeder Cattle Basis Forecasts AgEcon
Dhuyvetter, Kevin C.; Swanser, Kole; Kastens, Terry L.; Mintert, James R.; Crosby, Brett.
Forecasting feeder cattle basis has long been difficult because of the myriad factors that influence basis, including input and output prices and lot characteristics. This research draws upon knowledge of the various factors that influence cash feeder cattle prices to develop hedonic feeder cattle basis models. Out-of-sample test results provide strong evidence that these hedonic models predict basis more accurately than the multi-year average forecasting approach commonly used by livestock producers. Results from this research were used to develop a web tool funded by USDA's Risk Management Agency (BeefBasis.com) that producers can use to forecast and understand feeder cattle basis.
Tipo: Conference Paper or Presentation Palavras-chave: Basis; Basis forecasts; Cattle prices; Feeder cattle; Hedging; Price risk management; Agricultural Finance; Demand and Price Analysis; Farm Management; Livestock Production/Industries; Marketing; Risk and Uncertainty.
Ano: 2008 URL: http://purl.umn.edu/42302
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INCORPORATING CURRENT INFORMATION INTO HISTORICAL-AVERAGE-BASED FORECASTS TO IMPROVE CROP PRICE BASIS FORECASTS AgEcon
Taylor, Mykel R.; Dhuyvetter, Kevin C.; Kastens, Terry L..
Being able to accurately predict basis is critical for making marketing and management decisions. Basis forecasts can be used along with futures prices to provide cash price projections. Additionally, basis forecasts are needed to evaluate hedging opportunities. Many studies have examined factors affecting basis but few have explicitly examined the ability to forecast basis. Studies have shown basis forecasts based on simple historical averages compare favorably with more complex forecasting models. However, these studies typically have considered only a 3-year historical average for forecasting basis. This research compares practical methods of forecasting basis for wheat, soybeans, corn, and milo (grain sorghum) in Kansas. Across most of the...
Tipo: Conference Paper or Presentation Palavras-chave: Marketing.
Ano: 2004 URL: http://purl.umn.edu/19022
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LINKAGES BETWEEN CROP INSURANCE AND PRE-HARVEST HEDGING AgEcon
Dhuyvetter, Kevin C.; Kastens, Terry L..
The impact pre-harvest hedging and crop insurance strategies have on expected revenue and associated risk as well as how producers' risk attitudes affect optimal strategies was analyzed for Kansas wheat farms. No insurance, Catastrophic (CAT), Actual Production History (APH), and Crop Revenue Coverage (CRC) were considered. Average revenue was similar across alternatives, but APH and CRC resulted in the least income variability. Risk reduction effects of hedging were small and the advantage of CRC over APH decreases as hedging increases. This historical study provides useful information; however, if future market conditions differ significantly from the past, optimal strategies may change.
Tipo: Journal Article Palavras-chave: Crop insurance; Hedging; Revenue insurance; Risk management; Marketing; Risk and Uncertainty.
Ano: 1999 URL: http://purl.umn.edu/15133
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NON-PARAMETRIC AND SEMI-PARAMETRIC TECHNIQUES FOR MODELING AND SIMULATING CORRELATED, NON-NORMAL PRICE AND YIELD DISTRIBUTIONS: APPLICATIONS TO RISK ANALYSIS IN KANSAS AGRICULTURE AgEcon
Featherstone, Allen M.; Kastens, Terry L..
Parametric, non-parametric, and semi-parametric approaches are commonly used for modeling correlated distributions. Semi-parametric and non-parametric approaches are used to examine the risk situation for Kansas agriculture. Results from the model indicate that 2000 will be another difficult year for Kansas farmers, although crop income will increase slightly from 1999. However, unless another supplemental infusion of government payments occurs, crop income is expected to be the lowest since 1992.
Tipo: Journal Article Palavras-chave: Correlated distributions; Non-parametric modeling; Semi-parametric modeling; Kansas agriculture; Research Methods/ Statistical Methods.
Ano: 2000 URL: http://purl.umn.edu/15491
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PAYOFFS TO FARM MANAGEMENT: HOW IMPORTANT IS CROP MARKETING? AgEcon
Nivens, Heather D.; Kastens, Terry L.; Dhuyvetter, Kevin C..
In production agriculture, good management is demonstrated by profits that are persistenly greater than those of similar neighboring farms. This research examined the effects of management practices on risk-adjusted profit per acre for Kansas farms over 1990-1999. The management practices were price, cost, yield, planting intensity, and technology adoption (less-tillage). Cost management, planting intensity, and technology adoption had the greatest effect on profit per acre, and cash price management was found to have the smallest impact. If producers wish to have continuously high profits, their efforts are best spent in management practices over which they have the most control.
Tipo: Journal Article Palavras-chave: Farm management; Marketing; Risk; Technology adoption; Farm Management; Marketing.
Ano: 2002 URL: http://purl.umn.edu/15507
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PER UNIT COSTS TO OWN AND OPERATE FARM MACHINERY AgEcon
Beaton, Aaron J.; Dhuyvetter, Kevin C.; Kastens, Terry L..
Entropy and jackknife estimation procedures were used to find that custom rates are 20.3% lower than the true cost to own and operate machinery for an average size Kansas farm. A method was then developed to estimate a farms total machinery costs with which to benchmark machinery costs.
Tipo: Conference Paper or Presentation Palavras-chave: Farm Management.
Ano: 2003 URL: http://purl.umn.edu/35229
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Per Unit Costs to Own and Operate Farm Machinery AgEcon
Beaton, Aaron J.; Dhuyvetter, Kevin C.; Kastens, Terry L.; Williams, Jeffery R..
With increasingly thin margins and new technologies, it is important that farm managers know their cost of field operations on a per unit basis (e.g., acre, ton, bale). Accurate per unit costs give confidence when constructing enterprise budgets and evaluating new technologies, such as no-till. Custom rates are often used as a proxy for per unit costs; however, this research, using entropy and jackknife estimation procedures, found that custom rates understate total ownership and operating costs by approximately 25% for an average Kansas farm. Estimates from these models are then used to benchmark actual costs against expected cost.
Tipo: Journal Article Palavras-chave: Benchmark; Custom rates; Custom work; Entropy; Jackknife; Machinery costs; Production Economics; Productivity Analysis; Q10; Q12; C51; C60.
Ano: 2005 URL: http://purl.umn.edu/43720
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